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Thesis Final_TariqRahimi.pdf (5.58 MB)

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Potential Impacts of Connected Vehicles in Urban Traffic: A Case Study

Rahimi, Tariq Rahim
http://orcid.org/0000-0003-3766-476X
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1525457750006016

Abstract Details

2018, Master of Science, University of Toledo, Civil Engineering.
This research is an introduction to the topic of simulating vehicles capable of being connected with the infrastructure. The connectivity helps vehicles make better decisions and improves the general traffic flow. It is built around SUMO, an open source traffic simulation software developed by German Aerospace Center (DLR) of traffic studies. Three different scenarios of an urban intersection are simulated. First, an isolated intersection with current traditional traffic is simulated. Then, a camera connected with traffic light is simulated as a form of infrastructure to vehicle connectivity. The camera detects the vehicles in a specific distance from the stop line and adapts the traffic lights in order for the vehicles to pass the intersection safely. Third scenario is where vehicles are given some characteristics of autonomous and connected vehicles sporting less gap between each other, near perfect driving, and faster perception-reaction time. The main goal of our work is to be able to simulate how vehicles with some sort of connectivity impact traffic flow. We used the output from the fixed scenario as our base and compared the numbers we got from the second and third scenarios. We found out that the second scenario yields a better traffic flow with lesser delay and queue length. Moreover, the third scenario had cut more than half of the delay and queue length. In this study, we took an urban intersection and used it as an isolated one. We think if three parameters can have this much effect on traffic flow, having a fully connected and autonomous vehicle will have a larger effect on reducing collisions and congestions. My professor, colleagues and I are planning to do further studies of different intersections and roadways and evaluate its applicability.
Eddie Chou (Committee Chair)
Yanqing Xu (Committee Member)
Liangbo Hu (Committee Member)
115 p.
Civil Engineering; Transportation
Traffic Engineering, Transportation, Connected Vehicles, CV, AV, Autonomous Vehicles, Adapted Traffic Lights

Recommended Citations

Citations

  • Rahimi, T. R. (2018). Potential Impacts of Connected Vehicles in Urban Traffic: A Case Study [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1525457750006016

    APA Style (7th edition)

  • Rahimi, Tariq Rahim. Potential Impacts of Connected Vehicles in Urban Traffic: A Case Study. 2018. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1525457750006016.

    MLA Style (8th edition)

  • Rahimi, Tariq Rahim. "Potential Impacts of Connected Vehicles in Urban Traffic: A Case Study." Master's thesis, University of Toledo, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1525457750006016

    Chicago Manual of Style (17th edition)

toledo1525457750006016
475
© 2018, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.